Signet-AI
Official@signet-ai
Offers persistent memory, identity configuration, and visual standardization for modular digital entities.
Agent Skills by Signet-AI
Showing 9 vetted skills indexed across 1 GitHub repositories.
Signet-AIsignet-design
Standardize Signet UI visuals with design tokens, typography, and icons.
Signet-AIsignet
Provide persistent memory and identity for AI agents across sessions.
Signet-AImemory-debug
Diagnose and fix Signet memory issues across daemon health, embeddings, and data integrity.
Signet-AIrecall
Query persistent memories using hybrid vector and keyword search.
Signet-AIskill-creator
Create new Claude Skill templates with SKILL.md structure and Python scripts.
Signet-AIweb-search
Orchestrate SearXNG, Lightpanda, and Agent-Browser for web search and scraping.
Signet-AIagent-architect
Create SOUL.md, IDENTITY.md, USER.md, and AGENTS.md seed files defining agent voice and behavior.
Signet-AIremember
Persists selected content across Signet agent sessions with tagging and importance metadata.
Signet-AIonboarding
Guide users through an interactive onboarding interview to create local Signet identity and configuration files.
Frequently Asked Questions About Signet-AI
FAQPage SchemaWhat specific tasks can Signet-AI perform?▼
Signet-AI enables persistent memory storage, hybrid vector-keyword retrieval, and identity definition for digital entities. It facilitates web data extraction via SearXNG and Lightpanda, manages daemon health diagnostics for memory integrity, and enforces visual consistency through standardized design tokens and typography.
Who is the target persona for these capabilities?▼
The primary users are developers and architects building persistent, identity-driven digital entities. It is designed for engineers managing long-term context retention, persona behavior definition, and those requiring structured configuration management for complex interactive systems.
What are the prerequisites for implementing Signet-AI?▼
Implementation requires a foundational environment capable of processing vector embeddings and managing local configuration files like SOUL.md, IDENTITY.md, and AGENTS.md. Users must have access to the Signet ecosystem to utilize the memory persistence, daemon health monitoring, and design token standardization features.